Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 27, 2026

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

Improving wound score classification with limited remission spectra.

Jana Schmidt1, Andreas Hapfelmeier, Wolf-Dieter Schmidt

  • 1TU München, Boltzmannstr. 3, 85748 Garching b. München, Germany. jana.schmidt@in.tum.de

International Wound Journal
|November 17, 2011
PubMed
Summary

Classifying wound healing states using light absorption spectra is crucial. A new method using the 1-nearest-neighbor algorithm achieved high accuracy with only 4% of wavelengths, reducing costs.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Remote assessment of caries, MIH, and plaque on intraoral 3D scan images: Findings from the LIFE Child study.

Clinical oral investigations·2026
Same author

Sucrose reduction with maintained sweetness level lowers glycemic fluctuations and energy intake in healthy males.

Frontiers in nutrition·2025
Same author

Validity and Reliability of Intraoral Optical Coherence Tomography and Bitewing Radiography for Detecting Approximal Carious Lesions.

Caries research·2025
Same author

Capsaicin attenuates the effect of inflammatory cytokines in a HaCaT cell model for basal keratinocytes.

Frontiers in pharmacology·2024
Same author

After the teleconsultation: getting medicines to patients when pharmacy services are not available.

The British journal of general practice : the journal of the Royal College of General Practitioners·2024
Same author

Guided internet-based cognitive-behavioral therapy for patients with chronic pain: A meta-analytic review.

Internet interventions·2022

Area of Science:

  • Dermatology
  • Biomedical Optics
  • Data Science

Background:

  • Accurate classification of wound healing states is vital in dermatology.
  • Current methods rely on broad spectral analysis, increasing examination costs.
  • Reducing the number of wavelengths can lower costs without compromising classification accuracy.

Purpose of the Study:

  • To improve the classification accuracy of wound healing states.
  • To reduce costs by identifying essential wavelengths for spectral analysis.
  • To evaluate standard data mining methods and feature selection techniques for this task.

Main Methods:

  • Standard data mining techniques were employed for wound healing state classification.
  • Feature selection methods were applied to reduce the spectral data.

More Related Videos

Swine Model of Biofilm Infection and Invisible Wounds
07:16

Swine Model of Biofilm Infection and Invisible Wounds

Published on: June 16, 2023

Related Experiment Videos

Last Updated: May 27, 2026

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

Swine Model of Biofilm Infection and Invisible Wounds
07:16

Swine Model of Biofilm Infection and Invisible Wounds

Published on: June 16, 2023

  • Classification accuracy (CA) was used to compare different approaches.
  • The 1-nearest-neighbor (IB1) algorithm was specifically evaluated.

    • Main Results:

    • The 1-nearest-neighbor (IB1) algorithm demonstrated the highest classification accuracy.
    • Effective classification was achieved using only a small fraction (4%) of the analyzed wavelengths.
    • Feature selection significantly reduced the number of required wavelengths.

    Conclusions:

    • The IB1 algorithm offers a cost-effective and accurate method for classifying wound healing states.
    • Utilizing a reduced spectral subset is sufficient for reliable wound assessment.
    • This approach has the potential to decrease diagnostic costs in dermatology.